Sentence examples for probability of recognizing from inspiring English sources

In this way, we have an estimate of the probability of recognizing the model or cluster c ^ j when its reference class is c i.

In most cases, the curve is drawn with (1 − β), the probability of recognizing a positive occurrence within the universe of all positives.

The uncorrected probability of recognizing an old word as old was 0.77 (SD 0.15) for sad prosody and 0.79 (SD 0.14) for neutral prosody.

The uncorrected probability of recognizing an old word as old was 0.68 (SD 0.18) for the emotional condition and 0.67 (SD 0.21) for the neutral condition.

The results of Experiment 2 are illustrated in Figure 2. The uncorrected probability of recognizing an old word as old was 0.74 (SD 0.15) for happy prosody and 0.73 (SD 0.15) for neutral prosody.

This maximizes the probability of recognizing a druggable site and reduces the likelihood of a false negative.

However, in that situation, the difference of the second-order cyclic cumulant (CC) magnitude between OFDM and SCLD is not obvious under low signal-to-noise ratio (SNR) condition, which tremendously leads to the result that the probability of correctly recognizing the signal is not efficacious.

On the other hand, mimicry of parasitic egg to those of their hosts is advantageous for cuckoos because it reduces the probability of hosts recognizing and rejecting parasitic eggs.

Moreover, Warrington and McCarthy (1983 , 1987 showed that the probability of correctly recognizing a target stimulus was influenced by the semantic distance between the target word and the distractors and by the rate at which the items were presented.

Experimental results also indicate that as the clustering threshold mismatch decreases, the number of clustered subgraphs increases, and the frequency of frequent probability pattern similar to motif was gradually reduced, the time of recognizing frequent probability subgraph was increasing.

This conceptualization assumes that items can be in one of two states in memory that affect their probability of being recognized and classified as "Old" or "New".